Interfacial Failure in Flexible Pipe End Fittings: DIC and Cohesive Zone Modeling for Defect Analysis by Tao Zhang, Qingzhen Lu, Shengjie Xu, Yuanchao Yin, Jun Yan, Qianjin Yue

“…DIC captured real-time strain evolution and crack propagation, validating strain concentrations up to 3.2 at defect edges, while CZM simulations achieved high accuracy (errors: 3.0–7.2%) in predicting failure loads. Critical thresholds for λ (λ < 0.025 for negligible impact; λ > 0.05 requiring defect control or high-toughness adhesives) were established, providing actionable guidelines for manufacturing optimization and adhesive selection. …”
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Bayesian Inertia Estimation via Parallel MCMC Hammer in Power Systems by Weidong Zhong, Chun Li, Minghua Chu, Yuanhong Che, Shuyang Zhou, Zhi Wu, Kai Liu

“…Simulation results on the IEEE 39-bus and 68-bus benchmark systems validate the effectiveness and scalability of the proposed method, with inertia estimation errors consistently maintained below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>%</mo></mrow></semantics></math></inline-formula> across all generators. …”
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Seeing beyond vegetation: A comparative occlusion analysis between Multi-View Stereo, Neural Radiance Fields and Gaussian Splatting for 3D reconstruction by Ivana Petrovska, Boris Jutzi

“…Image-based 3D reconstruction offers realistic scene representation for applications that require accurate geometric information. …”
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Unlocking students’ potential beyond traditional exams: the influence of collaborative testing on nursing students’ retention and soft skills by Amal Diab Ghanem Atalla, Mohamed Hussein Ramadan Atta, Amina Hemida Salem Ghattas

“…If not developed, they may negatively impact patient outcomes and safety, contributing to medical errors, higher mortality rates, and job dissatisfaction. …”
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Approach to automating viral genome assembly by Ms Anastasiia Paremskaia, Dr Andrei Deviatkin, Dr Pavel Volchkov

“…IGV visualization demonstrates that the identified substitutions perfectly match the reads, indicating that these discrepancies are unlikely to be errors in data processing. Discussion: Thus, the number of segments determines the number of operations required to compare raw reads with the database. …”
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Postoperative outcomes in earthquake victims with orthopedic trauma: a focus on mortality and dialysis needs by Erdi Huseyin Erdem, Bahar Aydinli, Serkan Dogru, Harun Ozmen, Mevlut Atilla, Inci Yildirim

“…Clinical trial number Not applicable.…”
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URT-YOLOv11: A Large Receptive Field Algorithm for Detecting Tomato Ripening Under Different Field Conditions by Di Mu, Yuping Guou, Wei Wang, Ran Peng, Chunjie Guo, Francesco Marinello, Yingjie Xie, Qiang Huang

“…These factors often hinder accurate feature extraction, leading to recognition errors and reduced computational efficiency. To overcome these challenges, the model integrates several architectural enhancements. …”
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Exploring safety aspects of maternity care through the lens of midwifery students’ clinical experiences in Belgium, Czech republic, Estonia, Norway, Slovakia: A qualitative study by Daniela Javornická, Synnøve Mari Eidsvik Folkvord, Annelies Jaeken, Terézia Krčméryová, Helena Kisvetrová, Mary Steen

“…Collaborative teams prevent errors/hazards through interdisciplinary simulations, debriefings and students’ continuous mentoring. …”
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A Method to Improve Computational Efficiency of Productivity Evaluation with Rectangular Coalbed Methane Reservoir by Li Chen, Sun Lichun, Sun Hansen, Feng Ruyong, Wang Cunwu, Zhang Fang

“…It is clear that the factor is prone to calculation errors when the time is small, and the calculation fluctuates greatly. …”
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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The method has been validated on a curated AMS dataset, where it surpassed a GCN-only baseline by reducing reconstruction error and achieving a balanced classification accuracy of 96.7%, thereby exceeding the long-standing 95% accuracy threshold. …”
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Periodic table-based compositional descriptors for accelerating electrochemical material discovery: Li-ion conductors and oxygen evolution electrocatalysts by Yen-Ju Wu, Yibin Xu, Lei Fang, Wenqin Peng, Ken Sakaushi, Meiqi Zhang, Masao Arai, Yukinori Koyama

“…The discovery of high-performance electrochemical materials is essential for sustainable energy technologies, yet conventional methods rely on trial-and-error experiments, time-consuming computations, and detailed structural data. …”
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An Active RIS-Aided DFRC System for Improved Multi-User Communications by Ravi Patel, Aayush Singh, Keshav Singh, Shahid Mumtaz, Chih-Peng Li, Sudip Biswas

“…We develop a optimization algorithm that leverages weighted minimum mean square error (WMMSE) and fractional programming techniques to maximize the weighted sum rate (WSR) for communication users while ensuring robust radar detection performance. …”
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Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication by Mohamed Hammad, Ali Abdullah S. AlQahtani, Mohammed ELAffendi, Abdelhamied A. Ateya, Nebojsa Bacanin

“…These results confirm the practicality and scalability of our approach in secure, real-world biometric applications.…”
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Deep learning assisted real-time object recognition and depth estimation for enhancing emergency response in adaptive environment by Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, Do-Hyeun Kim

“…Using RGB frames along depth maps from the KITTI and synthetics dataset, along with a fine-tuned YOLOv11 model, our system achieves a Root Mean Squared Error (RMSE) of 1.24 meters, and RMSE (log) of 0.18 in-depth estimation, with object detection adequate up to 250 meters.The model maintains high precision (96.4%), recall (93.67%),and F1 score (93.33%) across various ranges, confirming YOLOv11's accuracy with an average inference time of 13 ms for short-range and 17 ms for long-range detection. …”
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Analysis of the mechanical behaviors of nonmetallic un-bonded flexible pipe under different loads by Jin Yu, Xuegang You, Tianwei Kong, Mengying Xia, Ruhong Lv, Kezheng Zhang, Baodong Wang

“…The model was validated through full-scale burst pressure tests, demonstrating excellent agreement (within 13.4% error) with experimental results. Key findings indicate that internal pressure of 35 MPa can increase tensile stiffness by up to 22.1%, while external pressure of 15 MPa enhances it by 8.9%. …”
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Extraction of Periodic Characteristics and Long-Term Stock Price Forecasting Using Non-Harmonic Analysis With Over 14 Years of NASDAQ Data Before and After COVID-19 by Yuki Kojima, Li Ma, Keisuke Nomoto, Masaya Hasegawa, Shigeki Hirobayashi

“…Compared with conventional techniques, including Ichinose&#x2019;s method, Long Short-Term Memory (LSTM) networks, and the autoregressive integrated moving average (ARIMA) model, the proposed method demonstrates a superior predictive performance with lower Mean Absolute Percentage Error (MAPE). These findings provide new insights into stock market dynamics and suggest broader applications of NHA in financial time-series analysis.…”
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Avnet: learning attitude and velocity for vehicular dead reckoning using smartphone by adapting an invariant EKF by Long Qian, Xinchuang Lin, Xiaoguang Niu, Qihai Huang, Leilei Li, Guangyi Guo, Zexin Wang, Ruizhi Chen

“…The method was tested on custom datasets collected in a parking lot, and a 0.4 % relative horizontal translation error was achieved on average.…”
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Chiral dual-annihilator model for controllable photon upconversion and multi-dimensional optical modulation by Honghan Ji, Zhiwang Luo, Xuefeng Yang, Xue Jin, Tonghan Zhao, Pengfei Duan

“…Its accuracy is demonstrated by fine-controlling the emission bandwidth of triplet-triplet annihilation photon upconversion (average error less than 4.5%) in the experimental aspect. …”
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Pharmacokinetics of Pegaspargase with a Limited Sampling Strategy for Asparaginase Activity Monitoring in Children with Acute Lymphoblastic Leukemia by Cristina Matteo, Antonella Colombini, Marta Cancelliere, Tommaso Ceruti, Ilaria Fuso Nerini, Luca Porcu, Massimo Zucchetti, Daniela Silvestri, Maria Grazia Valsecchi, Rosanna Parasole, Luciana Vinti, Nicoletta Bertorello, Daniela Onofrillo, Massimo Provenzi, Elena Chiocca, Luca Lo Nigro, Laura Rachele Bettini, Giacomo Gotti, Silvia Bungaro, Martin Schrappe, Paolo Ubezio, Carmelo Rizzari

“…This model predicts the AUC with 6% average error and 35% maximum error compared to the AUC estimated with all available measures. …”
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A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid region by Omar Djoukbala, Salim Djerbouai, Saeed Alqadhi, Mahmoud Hasbaia, Oussama Benselama, Hazem Ghassan Abdo, Javed Mallick

“…With a typical relative error of about 13% in predictions, these figures confirm the robustness of our methodology. …”
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